Research On The Energy-saving Optimization Methods Of Central Air-conditioning Chilled Station Based On The Insect Intelligence

The central air-conditioning system is the major energy-consuming system in the buildings,accounting for about 50 % of the building energy consumption.Owing to the influence of meteorological parameters,building structure,user behavior and other factors,the indoor load of the building changes in real-time.In order to adapt to this characteristic,the parallel chillers and variable flow chilled water system are often used in the central air-conditioning chilled station.Therefore,for different load requirements,the load optimization distribution of parallel chillers and the optimization about the dynamic hydraulic balance of the chilled water pipe network in air-conditioning are two major problems for the energy-saving optimization of central air-conditioning chilled station,and the researches about them are of great significance.Nevertheless,the traditional building control system has some defects,such as the difficulty of cross-subsystem integration,long system development and debugging period,high operation and maintenance cost.At the same time,all information interactions in the system depend on the central controller,resulting in poor real-time control of the system.The new insect intelligence platform based on the thinking of distributed and flat,which provided by the technology of the platform of insect intelligence building system,can overcome these defects and replace the traditional building control system with a broad application prospect.Therefore,based on the new insect intelligence,the following contents are studied:First of all,for the problem about the load optimization distribution of parallel chillers,the objective function is established with the goal of minimizing the energy consumption of parallel chillers,meeting the terminal load demand as the main constraint,and the part load ratio of each chiller as the optimization variable.A distributed chaotic estimation of distribution algorithm based on the insect intelligence is proposed to solve this problem.Experimental results demonstrate that the proposed algorithm can find a better operation strategy with the faster convergence speed and higher precision than other algorithms.Secondly,combined with the model of regulating valve and variable frequency pump,the hydraulic calculation model of the chilled water network in the air-conditioning is established,which provides the basis for the research and algorithm simulation verification of the optimization about the dynamic hydraulic balance algorithm of pipe network.The case analysis shows that the model can calculate the hydraulic parameters such as flow rate and differential pressure in the pipe network according to the relevant controllable parameters.Finally,the problem of the optimization about the dynamic hydraulic balance of the chilled water pipe network in air-conditioning is broken down into two sub-problems,namely,the optimization of the opening degree of the regulating valve in air handling units and the optimization of the frequency conversion of the parallel pumps.With the alternating direction method of multipliers as the core,a distributed iterative optimization algorithm based on the insect intelligence is proposed for solving,and the established hydraulic calculation model is used for experimental verification.The experimental results show that the distributed iterative algorithm is efficient and stable,and can realize the high-precision control of the flow rate of air handling units with the minimum power.For the defects of the traditional building control system and the changing characteristics of the building's indoor load,the load optimization distribution of parallel chillers and the optimization about the dynamic hydraulic balance of chilled water pipe network in central air-conditioning chilled station are studied based on the insect intelligence,and the corresponding optimization algorithms based on the insect intelligence are proposed for solving.This research improves the adaptability of the chilled station to the change of building load,and realizes the efficient and energy-saving operation of the chilled station,which provides guidance and reference for the energysaving optimization of the central air-conditioning system and the application and popularization of the technology of the platform of insect intelligence building system.